Revision 8bc91fa72139cef5f479dd9fb9e6db9162ca3b93 (click the page title to view the current version)

AIS2204 Maskinsyn

Practical Information

  1. There are no compulsory exercises. It is your responsibility to the exercises you need to do to understand the subject and gain experience.
  2. Feedback is provided in class upon demonstration of own work and solutions.
  3. The module emphasises the relation between theoretical and practical understanding.

How to work with the module

  1. Read the theory.
  2. Do practical exercises to test your theoretical understanding
  3. Evaluate your own solutions and reflect upon
    • what have you learnt from the exercise?
    • what do you yet not know?
  4. Don’t do a lot of exercises quickly. It is better to make sure that you comprehend a few exercises fully, and can justify and validate your own reasoning.
  5. Ask Questions.
    I will generally not repeat material unsolicited, but I am very happy to discuss any question you may have.
  6. Keep a diary. Make sure you can refer back to previous ideas and reuse previous solutions.

The practical exercises

The practical exercises are designed to give both

  1. standalone prototypes 3-5 times during the semester, each demonstrating key aspects of the theory.
  2. combine together into a final machine vision system, rudimentary but complete.

How does the exam work

  1. Oral Exam.
  2. You get seven minutes to demonstrate the highlights of your understanding of the subject. Make a case for the grade you think you deserve.
  3. The examiner will use the rest of the time for questions to clarify and to demonstrate expected breadth and depth.
  4. Note that there are both theoretical and practical learning outcomes, and the module emphasises the relation between these two.

Syllabus

  • From [Ma (2005): An Invitation to 3-D Vision: From Images to Geometric Models] (https://bibsys-almaprimo.hosted.exlibrisgroup.com/primo-explore/fulldisplay?docid=TN_cdi_askewsholts_vlebooks_9780387217796&context=PC&vid=NTNU_UB&lang=no_NO&search_scope=default_scope&adaptor=primo_central_multiple_fe&tab=default_tab&query=any,contains,ma%20invitation%203d%20vision&offset=0)
    • Chapters 1-6 and 11
  • All lectures and exercises
  • Additional reading:
    • Ma 2004, Chapters 7-10 and 12.
    • OpenCV 3 Computer Vision with Python Cookbook by Alexey Spizhevoy (author) from O’Reilly can be a useful supplement. Search for it in Oria. There is an e-book available.